PREDICTION OF 1P/19Q CODELETION STATUS IN DIFFUSE GLIOMA PATIENTS USING PREOPERATIVE MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING

A complete codeletion of chromosome 1p/19q is strongly correlated with better overall survival of diffuse glioma patients, hence determining the codeletion status early in the course of a patient’s disease would be valuable in that patient’s care. The current practice requires a surgical biopsy in order to assess the codeletion status, which exposes patients to risks and is limited in its accuracy by sampling variations. To overcome such limitations, we utilized four conventional magnetic resonance imaging sequences to predict the 1p/19q status. We extracted three sets of image-derived features, namely texture-based, topology-based, and convolutional neural network (CNN)-based, and analyzed each feature’s prediction performance. The topology-based model (AUC = 0.855 +/- 0.079) performed significantly better compared to the texture-based model (AUC = 0.707 +/- 0.118) while comparably against the CNN-based model (0.787 +/- 0.195). However, none of the models performed better than the baseline model that is built with only clinical variables, namely, age, gender, and Karnofsky Performance Score (AUC = 0.703 +/- 0.256). In summary, predicting 1p/19q chromosome codeletion status via MRI scan analysis can be a viable non-invasive assessment tool at an early stage of gliomas and in follow-ups although further investigation is needed to improve the model performance

Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging

Kim D, Wang N, Ravikumar V, Raghuram DR, Li J, Patel A, Wendt RE III, Rao G and Rao A (2019) Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging. Front. Comput. Neurosci. 13:52. doi: 10.3389/fncom.2019.00052https://openworks.mdanderson.org/mdacc_imgphys_pubs/1005/thumbnail.jp

Skunk River Review 2008-2009, vol 21

https://openspace.dmacc.edu/skunkriver/1014/thumbnail.jp

Castor: Secure Code Updates using Symmetric Cryptosystems

We present Castor, a secure code-update protocol for sensor networks that exploits symmetric cryptoystems. Through a synergistic combination of a one-way hash-chain, two oneway key-chains with the delayed disclosure of symmetric keys, and multiple message authentication codes (MACs), Castor enables untrusted sensor nodes to verify an update’s authenticity and guarantees that no correct node will ever install or forward a compromised part of a code-update image. We describe an implementation of Castor that hardens the TinyOS-based update protocol, Deluge, against node compromise. We experimentally compare Castor’s computational and communication costs with those of Deluge and with those of a contemporary secure update protocol, Sluice, that uses asymmetric cryptosystems (digital signatures) instead. Our results demonstrate that Castor incurs reasonable overheads as compared to Deluge, and lower resource usage as well as lower end-to-end update latency as compared to Sluice.

Castor: Secure Code Updates using Symmetric Cryptosystems

We present Castor, a secure code-update protocol for sensor networks that exploits symmetric cryptoystems. Through a synergistic combination of a one-way hash-chain, two oneway key-chains with the delayed disclosure of symmetric keys, and multiple message authentication codes (MACs), Castor enables untrusted sensor nodes to verify an update’s authenticity and guarantees that no correct node will ever install or forward a compromised part of a code-update image. We describe an implementation of Castor that hardens the TinyOS-based update protocol, Deluge, against node compromise. We experimentally compare Castor’s computational and communication costs with those of Deluge and with those of a contemporary secure update protocol, Sluice, that uses asymmetric cryptosystems (digital signatures) instead. Our results demonstrate that Castor incurs reasonable overheads as compared to Deluge, and lower resource usage as well as lower end-to-end update latency as compared to Sluice

Scalable System Design for Assisted Recall: Leveraging everyday mobile phones and web services

Human memory is a selective process where details are often lost, yet some types of research relies heavily on human memorization. Studies have shown that photographs help enhance the memory significantly. This study envisions to create a low-cost, mass-scale system using cell phones and to handle the massive amount of data that live image capture tends to implicate

Scalable System Design for Assisted Recall: Leveraging everyday mobile phones and web services

Human memory is a selective process where details are often lost, yet some types of research relies heavily on human memorization. Studies have shown that photographs help enhance the memory significantly. This study envisions to create a low-cost, mass-scale system using cell phones and to handle the massive amount of data that live image capture tends to implicate